feat: add StreamLake provider metadata

[ZHOUKAILIAN]

TLDR

Problem this solves:

• StreamLake is not a registered provider
• StreamLake model pricing is missing

How it solves it:

• Adds StreamLake as an OpenAI-compatible provider
• Adds public StreamLake model metadata
• Adds focused provider and pricing tests

User Flow

Before: a developer cannot configure StreamLake by provider name

1. They configure a chat completion model as
   streamlake/<model-or-endpoint>
2. They send POST https://litellm-domain/v1/chat/completions
3. LiteLLM cannot resolve StreamLake as a registered provider

After: the same developer can configure StreamLake by provider name

1. They configure a chat completion model as
   streamlake/<model-or-endpoint>
2. They send POST https://litellm-domain/v1/chat/completions
3. LiteLLM resolves StreamLake and sends the request to the StreamLake chat
   completions URL

Relevant issues

Linear ticket

Pre-Submission checklist

• I have added meaningful tests
• The handful of test files covering my change pass locally, e.g. uv run pytest tests/test_litellm/<your_test_file>.py -v. Leave the suites (make test-unit-*, make test-unit) to CI: it finishes in ~15 minutes where a
  laptop takes an hour or more
• My PR passes all required CI/CD checks (e.g., lint, schema.d.ts sync
  check, etc.)
• My PR's scope is as isolated as possible; it only solves 1 specific
  problem
• I have received a Greptile Confidence Score of at least 4/5 before
  requesting a maintainer review

Screenshots / Proof of Fix

After 3c1331f

1. uv run pytest tests/test_litellm/llms/openai_like/test_streamlake_provider.py -q
2. Observed output: 44 passed in 1.35s
3. uv run ruff check tests/test_litellm/llms/openai_like/test_streamlake_provider.py litellm/constants.py litellm/types/utils.py litellm/utils.py
4. Observed output: All checks passed!

Type

New Feature
Test

Caveats (if any)

Low

• Live StreamLake API proof still needs provider credentials

Final Attestation

• The tests check the right things, including the edge cases, and
  regressions in the respective real-world customer use-cases are not possible
  after this PR

[CLAassistant]

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[codspeed]

Merging this PR will not alter performance

✅ 31 untouched benchmarks

---

_{Comparing ZHOUKAILIAN:litellm_streamlake_provider_metadata (c9591d0) with litellm_internal_staging (47b15ff)}

[greptile-apps]

Greptile Summary

This PR adds StreamLake as a declaratively configured OpenAI-compatible chat provider and publishes its model pricing, limits, and capability metadata

• Registers StreamLake for provider-prefix and API-base resolution
• Configures credentials, URL construction, and token-parameter mapping
• Adds public model pricing and capability records to both catalogs
• Exposes additional input and output modality metadata through get_model_info
• Adds focused tests for provider resolution, configuration, metadata, and cost calculation

Confidence Score: 5/5

The PR appears safe to merge, with provider registration, dispatch metadata, model information, and focused tests aligned

No actionable failure remains; StreamLake resolves through the shared JSON-provider path, its model metadata follows catalog semantics, and both pricing catalogs stay synchronized

Important Files Changed

Filename	Overview
litellm/llms/openai_like/providers.json	Adds the declarative StreamLake chat provider configuration, credential environment variables, base URL, and token mapping
litellm/constants.py	Registers StreamLake among known OpenAI-compatible endpoints and providers
litellm/types/utils.py	Adds the StreamLake provider enum member and read-only modality fields to public model metadata types
litellm/utils.py	Propagates image, video, and modality metadata from the model catalog through public model information
model_prices_and_context_window.json	Adds StreamLake model pricing, token limits, rate limits, and capability metadata
litellm/model_prices_and_context_window_backup.json	Keeps the bundled backup model catalog synchronized with the root catalog
provider_endpoints_support.json	Publishes StreamLake as supporting chat completions only
tests/test_litellm/llms/openai_like/test_streamlake_provider.py	Tests provider registration, resolution, URL construction, parameter mapping, catalog synchronization, capabilities, and pricing

_{Reviews (1): Last reviewed commit: "feat: add StreamLake provider metadata" | Re-trigger Greptile}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

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